
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ t 1.0)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_3 (sqrt z)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ t_4 (+ (- t_5 (sqrt y)) (- t_2 (sqrt x))))))
(if (<= t_6 1.0002)
(+
(+ t_4 (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_2))))
(- t_1 (sqrt t)))
(if (<= t_6 2.99999995)
(- (+ (+ (/ 1.0 (+ t_3 (sqrt z))) t_5) t_2) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_1)) t_3) t_5)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((z + 1.0));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((1.0 + y));
double t_6 = t_4 + ((t_5 - sqrt(y)) + (t_2 - sqrt(x)));
double tmp;
if (t_6 <= 1.0002) {
tmp = (t_4 + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_2)))) + (t_1 - sqrt(t));
} else if (t_6 <= 2.99999995) {
tmp = (((1.0 / (t_3 + sqrt(z))) + t_5) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (sqrt(t) + t_1)) + t_3) + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(t + 1.0)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_3 - sqrt(z)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(t_4 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_2 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.0002) tmp = Float64(Float64(t_4 + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_2)))) + Float64(t_1 - sqrt(t))); elseif (t_6 <= 2.99999995) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(z))) + t_5) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_1)) + t_3) + t_5) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0002], N[(N[(t$95$4 + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.99999995], N[(N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{1 + y}\\
t_6 := t\_4 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1.0002:\\
\;\;\;\;\left(t\_4 + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_2}\right)\right) + \left(t\_1 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.99999995:\\
\;\;\;\;\left(\left(\frac{1}{t\_3 + \sqrt{z}} + t\_5\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_1} + t\_3\right) + t\_5\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.0002Initial program 85.5%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.1%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6470.1
Applied rewrites70.1%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6468.0
Applied rewrites68.0%
if 1.0002 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.99999994999999986Initial program 97.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites25.6%
if 2.99999994999999986 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.4
Applied rewrites98.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites99.8%
Final simplification53.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ t 1.0)))
(t_4 (sqrt (+ z 1.0)))
(t_5 (- t_4 (sqrt z)))
(t_6 (- t_3 (sqrt t)))
(t_7 (+ (+ t_5 (+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))) t_6)))
(if (<= t_7 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_5) t_6)
(if (<= t_7 3.0)
(- (+ (+ (/ 1.0 (+ t_4 (sqrt z))) t_1) t_2) (+ (sqrt y) (sqrt x)))
(+
(- (+ (+ t_4 t_1) t_3) (+ (+ (+ (sqrt z) (sqrt y)) (sqrt x)) (sqrt t)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((t + 1.0));
double t_4 = sqrt((z + 1.0));
double t_5 = t_4 - sqrt(z);
double t_6 = t_3 - sqrt(t);
double t_7 = (t_5 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_5) + t_6;
} else if (t_7 <= 3.0) {
tmp = (((1.0 / (t_4 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = (((t_4 + t_1) + t_3) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: t_7
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((t + 1.0d0))
t_4 = sqrt((z + 1.0d0))
t_5 = t_4 - sqrt(z)
t_6 = t_3 - sqrt(t)
t_7 = (t_5 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_6
if (t_7 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_5) + t_6
else if (t_7 <= 3.0d0) then
tmp = (((1.0d0 / (t_4 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x))
else
tmp = (((t_4 + t_1) + t_3) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((t + 1.0));
double t_4 = Math.sqrt((z + 1.0));
double t_5 = t_4 - Math.sqrt(z);
double t_6 = t_3 - Math.sqrt(t);
double t_7 = (t_5 + ((t_1 - Math.sqrt(y)) + (t_2 - Math.sqrt(x)))) + t_6;
double tmp;
if (t_7 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_5) + t_6;
} else if (t_7 <= 3.0) {
tmp = (((1.0 / (t_4 + Math.sqrt(z))) + t_1) + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((t_4 + t_1) + t_3) - (((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x)) + Math.sqrt(t))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((t + 1.0)) t_4 = math.sqrt((z + 1.0)) t_5 = t_4 - math.sqrt(z) t_6 = t_3 - math.sqrt(t) t_7 = (t_5 + ((t_1 - math.sqrt(y)) + (t_2 - math.sqrt(x)))) + t_6 tmp = 0 if t_7 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_5) + t_6 elif t_7 <= 3.0: tmp = (((1.0 / (t_4 + math.sqrt(z))) + t_1) + t_2) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((t_4 + t_1) + t_3) - (((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x)) + math.sqrt(t))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(t + 1.0)) t_4 = sqrt(Float64(z + 1.0)) t_5 = Float64(t_4 - sqrt(z)) t_6 = Float64(t_3 - sqrt(t)) t_7 = Float64(Float64(t_5 + Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x)))) + t_6) tmp = 0.0 if (t_7 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_5) + t_6); elseif (t_7 <= 3.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_4 + sqrt(z))) + t_1) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(t_4 + t_1) + t_3) - Float64(Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + x));
t_3 = sqrt((t + 1.0));
t_4 = sqrt((z + 1.0));
t_5 = t_4 - sqrt(z);
t_6 = t_3 - sqrt(t);
t_7 = (t_5 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_6;
tmp = 0.0;
if (t_7 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_5) + t_6;
elseif (t_7 <= 3.0)
tmp = (((1.0 / (t_4 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x));
else
tmp = (((t_4 + t_1) + t_3) - (((sqrt(z) + sqrt(y)) + sqrt(x)) + sqrt(t))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(t$95$5 + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$6), $MachinePrecision], If[LessEqual[t$95$7, 3.0], N[(N[(N[(N[(1.0 / N[(t$95$4 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$4 + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{t + 1}\\
t_4 := \sqrt{z + 1}\\
t_5 := t\_4 - \sqrt{z}\\
t_6 := t\_3 - \sqrt{t}\\
t_7 := \left(t\_5 + \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\right) + t\_6\\
\mathbf{if}\;t\_7 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_5\right) + t\_6\\
\mathbf{elif}\;t\_7 \leq 3:\\
\;\;\;\;\left(\left(\frac{1}{t\_4 + \sqrt{z}} + t\_1\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 + t\_1\right) + t\_3\right) - \left(\left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right) + \sqrt{t}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 77.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites79.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6466.9
Applied rewrites66.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6463.8
Applied rewrites63.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3Initial program 96.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.4
Applied rewrites97.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites23.3%
if 3 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites21.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites96.8%
Final simplification39.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (sqrt (+ 1.0 x)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (- t_3 (sqrt z)))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_6 (+ (+ t_4 (+ (- t_1 (sqrt y)) (- t_2 (sqrt x)))) t_5)))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_2)) t_4) t_5)
(if (<= t_6 2.5)
(- (+ (+ (/ 1.0 (+ t_3 (sqrt z))) t_1) t_2) (+ (sqrt y) (sqrt x)))
(+ (+ (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))) t_4) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((1.0 + x));
double t_3 = sqrt((z + 1.0));
double t_4 = t_3 - sqrt(z);
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double t_6 = (t_4 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_5;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_2)) + t_4) + t_5;
} else if (t_6 <= 2.5) {
tmp = (((1.0 / (t_3 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x));
} else {
tmp = (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_4) + t_5;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + y))
t_2 = sqrt((1.0d0 + x))
t_3 = sqrt((z + 1.0d0))
t_4 = t_3 - sqrt(z)
t_5 = sqrt((t + 1.0d0)) - sqrt(t)
t_6 = (t_4 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_5
if (t_6 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_2)) + t_4) + t_5
else if (t_6 <= 2.5d0) then
tmp = (((1.0d0 / (t_3 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x))
else
tmp = (((1.0d0 - sqrt(y)) + (1.0d0 - sqrt(x))) + t_4) + t_5
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + y));
double t_2 = Math.sqrt((1.0 + x));
double t_3 = Math.sqrt((z + 1.0));
double t_4 = t_3 - Math.sqrt(z);
double t_5 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_6 = (t_4 + ((t_1 - Math.sqrt(y)) + (t_2 - Math.sqrt(x)))) + t_5;
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_2)) + t_4) + t_5;
} else if (t_6 <= 2.5) {
tmp = (((1.0 / (t_3 + Math.sqrt(z))) + t_1) + t_2) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = (((1.0 - Math.sqrt(y)) + (1.0 - Math.sqrt(x))) + t_4) + t_5;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + y)) t_2 = math.sqrt((1.0 + x)) t_3 = math.sqrt((z + 1.0)) t_4 = t_3 - math.sqrt(z) t_5 = math.sqrt((t + 1.0)) - math.sqrt(t) t_6 = (t_4 + ((t_1 - math.sqrt(y)) + (t_2 - math.sqrt(x)))) + t_5 tmp = 0 if t_6 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_2)) + t_4) + t_5 elif t_6 <= 2.5: tmp = (((1.0 / (t_3 + math.sqrt(z))) + t_1) + t_2) - (math.sqrt(y) + math.sqrt(x)) else: tmp = (((1.0 - math.sqrt(y)) + (1.0 - math.sqrt(x))) + t_4) + t_5 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(1.0 + x)) t_3 = sqrt(Float64(z + 1.0)) t_4 = Float64(t_3 - sqrt(z)) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_6 = Float64(Float64(t_4 + Float64(Float64(t_1 - sqrt(y)) + Float64(t_2 - sqrt(x)))) + t_5) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_2)) + t_4) + t_5); elseif (t_6 <= 2.5) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_3 + sqrt(z))) + t_1) + t_2) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))) + t_4) + t_5); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + y));
t_2 = sqrt((1.0 + x));
t_3 = sqrt((z + 1.0));
t_4 = t_3 - sqrt(z);
t_5 = sqrt((t + 1.0)) - sqrt(t);
t_6 = (t_4 + ((t_1 - sqrt(y)) + (t_2 - sqrt(x)))) + t_5;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_2)) + t_4) + t_5;
elseif (t_6 <= 2.5)
tmp = (((1.0 / (t_3 + sqrt(z))) + t_1) + t_2) - (sqrt(y) + sqrt(x));
else
tmp = (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_4) + t_5;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$4 + N[(N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$6, 2.5], N[(N[(N[(N[(1.0 / N[(t$95$3 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$5), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{1 + x}\\
t_3 := \sqrt{z + 1}\\
t_4 := t\_3 - \sqrt{z}\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
t_6 := \left(t\_4 + \left(\left(t\_1 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\right)\right) + t\_5\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_2} + t\_4\right) + t\_5\\
\mathbf{elif}\;t\_6 \leq 2.5:\\
\;\;\;\;\left(\left(\frac{1}{t\_3 + \sqrt{z}} + t\_1\right) + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_4\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 77.2%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites79.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6466.9
Applied rewrites66.9%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6463.8
Applied rewrites63.8%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.5Initial program 95.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.4
Applied rewrites96.4%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites19.3%
if 2.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6479.0
Applied rewrites79.0%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6420.7
Applied rewrites20.7%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6420.6
Applied rewrites20.6%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6461.0
Applied rewrites61.0%
Final simplification43.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4
(+
t_3
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (- (sqrt (+ 1.0 x)) (sqrt x))))))
(if (<= t_4 0.0001)
(+ (+ (+ (* 0.5 (sqrt (/ 1.0 y))) (* (sqrt (/ 1.0 x)) 0.5)) t_3) t_1)
(if (<= t_4 1.9998)
(+ t_4 t_1)
(+
(- (+ 2.0 (fma 0.5 y (/ 1.0 (+ t_2 (sqrt z))))) (+ (sqrt y) (sqrt x)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = t_3 + ((sqrt((1.0 + y)) - sqrt(y)) + (sqrt((1.0 + x)) - sqrt(x)));
double tmp;
if (t_4 <= 0.0001) {
tmp = (((0.5 * sqrt((1.0 / y))) + (sqrt((1.0 / x)) * 0.5)) + t_3) + t_1;
} else if (t_4 <= 1.9998) {
tmp = t_4 + t_1;
} else {
tmp = ((2.0 + fma(0.5, y, (1.0 / (t_2 + sqrt(z))))) - (sqrt(y) + sqrt(x))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(t_3 + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + Float64(sqrt(Float64(1.0 + x)) - sqrt(x)))) tmp = 0.0 if (t_4 <= 0.0001) tmp = Float64(Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / y))) + Float64(sqrt(Float64(1.0 / x)) * 0.5)) + t_3) + t_1); elseif (t_4 <= 1.9998) tmp = Float64(t_4 + t_1); else tmp = Float64(Float64(Float64(2.0 + fma(0.5, y, Float64(1.0 / Float64(t_2 + sqrt(z))))) - Float64(sqrt(y) + sqrt(x))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.0001], N[(N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 1.9998], N[(t$95$4 + t$95$1), $MachinePrecision], N[(N[(N[(2.0 + N[(0.5 * y + N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := t\_3 + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \left(\sqrt{1 + x} - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_4 \leq 0.0001:\\
\;\;\;\;\left(\left(0.5 \cdot \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}} \cdot 0.5\right) + t\_3\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 1.9998:\\
\;\;\;\;t\_4 + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, y, \frac{1}{t\_2 + \sqrt{z}}\right)\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000005e-4Initial program 57.8%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f644.9
Applied rewrites4.9%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6465.7
Applied rewrites65.7%
if 1.00000000000000005e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.9998Initial program 95.1%
if 1.9998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.3
Applied rewrites98.3%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites54.7%
Taylor expanded in x around 0
Applied rewrites50.1%
Final simplification68.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- t_1 (sqrt z)))
(t_3 (sqrt (+ 1.0 y)))
(t_4 (sqrt (+ 1.0 x)))
(t_5 (+ t_2 (+ (- t_3 (sqrt y)) (- t_4 (sqrt x)))))
(t_6 (sqrt (+ t 1.0))))
(if (<= t_5 0.0005)
(+
(+ (+ (* 0.5 (sqrt (/ 1.0 y))) (* (sqrt (/ 1.0 x)) 0.5)) t_2)
(- t_6 (sqrt t)))
(if (<= t_5 2.001)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_3) (+ (sqrt y) (sqrt x))) t_4)
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_6)) t_1) t_3)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = t_1 - sqrt(z);
double t_3 = sqrt((1.0 + y));
double t_4 = sqrt((1.0 + x));
double t_5 = t_2 + ((t_3 - sqrt(y)) + (t_4 - sqrt(x)));
double t_6 = sqrt((t + 1.0));
double tmp;
if (t_5 <= 0.0005) {
tmp = (((0.5 * sqrt((1.0 / y))) + (sqrt((1.0 / x)) * 0.5)) + t_2) + (t_6 - sqrt(t));
} else if (t_5 <= 2.001) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_3) - (sqrt(y) + sqrt(x))) + t_4;
} else {
tmp = ((((1.0 / (sqrt(t) + t_6)) + t_1) + t_3) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(t_1 - sqrt(z)) t_3 = sqrt(Float64(1.0 + y)) t_4 = sqrt(Float64(1.0 + x)) t_5 = Float64(t_2 + Float64(Float64(t_3 - sqrt(y)) + Float64(t_4 - sqrt(x)))) t_6 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (t_5 <= 0.0005) tmp = Float64(Float64(Float64(Float64(0.5 * sqrt(Float64(1.0 / y))) + Float64(sqrt(Float64(1.0 / x)) * 0.5)) + t_2) + Float64(t_6 - sqrt(t))); elseif (t_5 <= 2.001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_3) - Float64(sqrt(y) + sqrt(x))) + t_4); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_6)) + t_1) + t_3) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 + N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$5, 0.0005], N[(N[(N[(N[(0.5 * N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + N[(t$95$6 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.001], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$6), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := t\_1 - \sqrt{z}\\
t_3 := \sqrt{1 + y}\\
t_4 := \sqrt{1 + x}\\
t_5 := t\_2 + \left(\left(t\_3 - \sqrt{y}\right) + \left(t\_4 - \sqrt{x}\right)\right)\\
t_6 := \sqrt{t + 1}\\
\mathbf{if}\;t\_5 \leq 0.0005:\\
\;\;\;\;\left(\left(0.5 \cdot \sqrt{\frac{1}{y}} + \sqrt{\frac{1}{x}} \cdot 0.5\right) + t\_2\right) + \left(t\_6 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_6} + t\_1\right) + t\_3\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 5.0000000000000001e-4Initial program 58.2%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f644.9
Applied rewrites4.9%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f644.9
Applied rewrites4.9%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6465.2
Applied rewrites65.2%
if 5.0000000000000001e-4 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.00099999999999989Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites5.0%
Applied rewrites17.3%
Taylor expanded in z around inf
Applied rewrites21.8%
if 2.00099999999999989 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 98.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.6
Applied rewrites98.6%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites98.1%
Final simplification38.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 x)))
(t_2 (sqrt (+ z 1.0)))
(t_3 (- t_2 (sqrt z)))
(t_4 (sqrt (+ t 1.0)))
(t_5 (sqrt (+ 1.0 y)))
(t_6 (+ t_3 (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))))))
(if (<= t_6 1.0)
(+ (+ (/ 1.0 (+ (sqrt x) t_1)) t_3) (- t_4 (sqrt t)))
(if (<= t_6 2.99999995)
(- (+ (+ (/ 1.0 (+ t_2 (sqrt z))) t_5) t_1) (+ (sqrt y) (sqrt x)))
(+
(-
(+ (+ (/ 1.0 (+ (sqrt t) t_4)) t_2) t_5)
(+ (+ (sqrt z) (sqrt y)) (sqrt x)))
1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + x));
double t_2 = sqrt((z + 1.0));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0));
double t_5 = sqrt((1.0 + y));
double t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (sqrt(x) + t_1)) + t_3) + (t_4 - sqrt(t));
} else if (t_6 <= 2.99999995) {
tmp = (((1.0 / (t_2 + sqrt(z))) + t_5) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((((1.0 / (sqrt(t) + t_4)) + t_2) + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((1.0d0 + x))
t_2 = sqrt((z + 1.0d0))
t_3 = t_2 - sqrt(z)
t_4 = sqrt((t + 1.0d0))
t_5 = sqrt((1.0d0 + y))
t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)))
if (t_6 <= 1.0d0) then
tmp = ((1.0d0 / (sqrt(x) + t_1)) + t_3) + (t_4 - sqrt(t))
else if (t_6 <= 2.99999995d0) then
tmp = (((1.0d0 / (t_2 + sqrt(z))) + t_5) + t_1) - (sqrt(y) + sqrt(x))
else
tmp = ((((1.0d0 / (sqrt(t) + t_4)) + t_2) + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((1.0 + x));
double t_2 = Math.sqrt((z + 1.0));
double t_3 = t_2 - Math.sqrt(z);
double t_4 = Math.sqrt((t + 1.0));
double t_5 = Math.sqrt((1.0 + y));
double t_6 = t_3 + ((t_5 - Math.sqrt(y)) + (t_1 - Math.sqrt(x)));
double tmp;
if (t_6 <= 1.0) {
tmp = ((1.0 / (Math.sqrt(x) + t_1)) + t_3) + (t_4 - Math.sqrt(t));
} else if (t_6 <= 2.99999995) {
tmp = (((1.0 / (t_2 + Math.sqrt(z))) + t_5) + t_1) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((((1.0 / (Math.sqrt(t) + t_4)) + t_2) + t_5) - ((Math.sqrt(z) + Math.sqrt(y)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((1.0 + x)) t_2 = math.sqrt((z + 1.0)) t_3 = t_2 - math.sqrt(z) t_4 = math.sqrt((t + 1.0)) t_5 = math.sqrt((1.0 + y)) t_6 = t_3 + ((t_5 - math.sqrt(y)) + (t_1 - math.sqrt(x))) tmp = 0 if t_6 <= 1.0: tmp = ((1.0 / (math.sqrt(x) + t_1)) + t_3) + (t_4 - math.sqrt(t)) elif t_6 <= 2.99999995: tmp = (((1.0 / (t_2 + math.sqrt(z))) + t_5) + t_1) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((((1.0 / (math.sqrt(t) + t_4)) + t_2) + t_5) - ((math.sqrt(z) + math.sqrt(y)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + x)) t_2 = sqrt(Float64(z + 1.0)) t_3 = Float64(t_2 - sqrt(z)) t_4 = sqrt(Float64(t + 1.0)) t_5 = sqrt(Float64(1.0 + y)) t_6 = Float64(t_3 + Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x)))) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_1)) + t_3) + Float64(t_4 - sqrt(t))); elseif (t_6 <= 2.99999995) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(t_2 + sqrt(z))) + t_5) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(t) + t_4)) + t_2) + t_5) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((1.0 + x));
t_2 = sqrt((z + 1.0));
t_3 = t_2 - sqrt(z);
t_4 = sqrt((t + 1.0));
t_5 = sqrt((1.0 + y));
t_6 = t_3 + ((t_5 - sqrt(y)) + (t_1 - sqrt(x)));
tmp = 0.0;
if (t_6 <= 1.0)
tmp = ((1.0 / (sqrt(x) + t_1)) + t_3) + (t_4 - sqrt(t));
elseif (t_6 <= 2.99999995)
tmp = (((1.0 / (t_2 + sqrt(z))) + t_5) + t_1) - (sqrt(y) + sqrt(x));
else
tmp = ((((1.0 / (sqrt(t) + t_4)) + t_2) + t_5) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$3 + N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + N[(t$95$4 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 2.99999995], N[(N[(N[(N[(1.0 / N[(t$95$2 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[t], $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + x}\\
t_2 := \sqrt{z + 1}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1}\\
t_5 := \sqrt{1 + y}\\
t_6 := t\_3 + \left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right)\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_1} + t\_3\right) + \left(t\_4 - \sqrt{t}\right)\\
\mathbf{elif}\;t\_6 \leq 2.99999995:\\
\;\;\;\;\left(\left(\frac{1}{t\_2 + \sqrt{z}} + t\_5\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{t} + t\_4} + t\_2\right) + t\_5\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 86.3%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites87.6%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6470.1
Applied rewrites70.1%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6468.1
Applied rewrites68.1%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.99999994999999986Initial program 96.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.2
Applied rewrites97.2%
Taylor expanded in t around inf
lower--.f64N/A
Applied rewrites24.9%
if 2.99999994999999986 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.4
Applied rewrites98.4%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
Applied rewrites99.8%
Final simplification51.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ 1.0 x))))
(if (<= y 52000000.0)
(+
t_2
(+
(/ (- (+ z 1.0) z) (+ t_1 (sqrt z)))
(+ (- (sqrt (+ 1.0 y)) (sqrt y)) (- t_3 (sqrt x)))))
(+
(+ (- t_1 (sqrt z)) (fma (sqrt (/ 1.0 y)) 0.5 (/ 1.0 (+ (sqrt x) t_3))))
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((1.0 + x));
double tmp;
if (y <= 52000000.0) {
tmp = t_2 + ((((z + 1.0) - z) / (t_1 + sqrt(z))) + ((sqrt((1.0 + y)) - sqrt(y)) + (t_3 - sqrt(x))));
} else {
tmp = ((t_1 - sqrt(z)) + fma(sqrt((1.0 / y)), 0.5, (1.0 / (sqrt(x) + t_3)))) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (y <= 52000000.0) tmp = Float64(t_2 + Float64(Float64(Float64(Float64(z + 1.0) - z) / Float64(t_1 + sqrt(z))) + Float64(Float64(sqrt(Float64(1.0 + y)) - sqrt(y)) + Float64(t_3 - sqrt(x))))); else tmp = Float64(Float64(Float64(t_1 - sqrt(z)) + fma(sqrt(Float64(1.0 / y)), 0.5, Float64(1.0 / Float64(sqrt(x) + t_3)))) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y, 52000000.0], N[(t$95$2 + N[(N[(N[(N[(z + 1.0), $MachinePrecision] - z), $MachinePrecision] / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{1 + x}\\
\mathbf{if}\;y \leq 52000000:\\
\;\;\;\;t\_2 + \left(\frac{\left(z + 1\right) - z}{t\_1 + \sqrt{z}} + \left(\left(\sqrt{1 + y} - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 - \sqrt{z}\right) + \mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, \frac{1}{\sqrt{x} + t\_3}\right)\right) + t\_2\\
\end{array}
\end{array}
if y < 5.2e7Initial program 97.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.8
Applied rewrites97.8%
if 5.2e7 < y Initial program 86.9%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites89.1%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6490.3
Applied rewrites90.3%
Taylor expanded in y around inf
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6490.8
Applied rewrites90.8%
Final simplification94.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ z 1.0)) (sqrt z))))
(if (<= t_1 2e-5)
(+
(- (fma (sqrt (/ 1.0 z)) 0.5 (sqrt (+ 1.0 y))) (+ (sqrt y) (sqrt x)))
(sqrt (+ 1.0 x)))
(+
(+ (+ (- 1.0 (sqrt y)) (- 1.0 (sqrt x))) t_1)
(- (sqrt (+ t 1.0)) (sqrt t))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0)) - sqrt(z);
double tmp;
if (t_1 <= 2e-5) {
tmp = (fma(sqrt((1.0 / z)), 0.5, sqrt((1.0 + y))) - (sqrt(y) + sqrt(x))) + sqrt((1.0 + x));
} else {
tmp = (((1.0 - sqrt(y)) + (1.0 - sqrt(x))) + t_1) + (sqrt((t + 1.0)) - sqrt(t));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) tmp = 0.0 if (t_1 <= 2e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, sqrt(Float64(1.0 + y))) - Float64(sqrt(y) + sqrt(x))) + sqrt(Float64(1.0 + x))); else tmp = Float64(Float64(Float64(Float64(1.0 - sqrt(y)) + Float64(1.0 - sqrt(x))) + t_1) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, 2e-5], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1} - \sqrt{z}\\
\mathbf{if}\;t\_1 \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \sqrt{1 + y}\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + \sqrt{1 + x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_1\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 2.00000000000000016e-5Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Applied rewrites19.7%
Taylor expanded in z around inf
Applied rewrites29.8%
if 2.00000000000000016e-5 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in x around 0
+-commutativeN/A
associate--l+N/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6453.4
Applied rewrites53.4%
Taylor expanded in y around inf
*-commutativeN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f6428.3
Applied rewrites28.3%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6427.0
Applied rewrites27.0%
Taylor expanded in y around 0
lower--.f64N/A
lower-sqrt.f6427.4
Applied rewrites27.4%
Final simplification28.5%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (+ (sqrt y) (sqrt x)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (- t_3 (sqrt z)) 2e-5)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_1) t_2) t_4)
(- (- (+ (+ t_3 t_4) t_1) (sqrt z)) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(y) + sqrt(x);
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 - sqrt(z)) <= 2e-5) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - t_2) + t_4;
} else {
tmp = (((t_3 + t_4) + t_1) - sqrt(z)) - t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(y) + sqrt(x)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 - sqrt(z)) <= 2e-5) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - t_2) + t_4); else tmp = Float64(Float64(Float64(Float64(t_3 + t_4) + t_1) - sqrt(z)) - t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 2e-5], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$3 + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{y} + \sqrt{x}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 - \sqrt{z} \leq 2 \cdot 10^{-5}:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - t\_2\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_3 + t\_4\right) + t\_1\right) - \sqrt{z}\right) - t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 2.00000000000000016e-5Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Applied rewrites19.7%
Taylor expanded in z around inf
Applied rewrites29.8%
if 2.00000000000000016e-5 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.1%
Applied rewrites18.1%
Final simplification23.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y)))
(t_2 (+ (sqrt y) (sqrt x)))
(t_3 (sqrt (+ z 1.0)))
(t_4 (sqrt (+ 1.0 x))))
(if (<= (- t_3 (sqrt z)) 0.0001)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_1) t_2) t_4)
(+ (+ (- (- t_4 (sqrt z)) t_2) t_3) t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(y) + sqrt(x);
double t_3 = sqrt((z + 1.0));
double t_4 = sqrt((1.0 + x));
double tmp;
if ((t_3 - sqrt(z)) <= 0.0001) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - t_2) + t_4;
} else {
tmp = (((t_4 - sqrt(z)) - t_2) + t_3) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(y) + sqrt(x)) t_3 = sqrt(Float64(z + 1.0)) t_4 = sqrt(Float64(1.0 + x)) tmp = 0.0 if (Float64(t_3 - sqrt(z)) <= 0.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - t_2) + t_4); else tmp = Float64(Float64(Float64(Float64(t_4 - sqrt(z)) - t_2) + t_3) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], N[(N[(N[(N[(t$95$4 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{y} + \sqrt{x}\\
t_3 := \sqrt{z + 1}\\
t_4 := \sqrt{1 + x}\\
\mathbf{if}\;t\_3 - \sqrt{z} \leq 0.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - t\_2\right) + t\_4\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(t\_4 - \sqrt{z}\right) - t\_2\right) + t\_3\right) + t\_1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.00000000000000005e-4Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Applied rewrites19.7%
Taylor expanded in z around inf
Applied rewrites29.8%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.1%
Applied rewrites32.2%
Final simplification31.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ z 1.0))))
(if (<= (- t_2 (sqrt z)) 0.0001)
(+
(- (fma (sqrt (/ 1.0 z)) 0.5 t_1) (+ (sqrt y) (sqrt x)))
(sqrt (+ 1.0 x)))
(- (+ (+ t_1 1.0) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0001) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - (sqrt(y) + sqrt(x))) + sqrt((1.0 + x));
} else {
tmp = ((t_1 + 1.0) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - Float64(sqrt(y) + sqrt(x))) + sqrt(Float64(1.0 + x))); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + \sqrt{1 + x}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.00000000000000005e-4Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Applied rewrites19.7%
Taylor expanded in z around inf
Applied rewrites29.8%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.1%
Taylor expanded in x around 0
Applied rewrites16.5%
Final simplification22.8%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ z 1.0)))
(t_2 (+ (sqrt y) (sqrt x)))
(t_3 (sqrt (+ 1.0 x)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= y 5.9e-8)
(+ (- (+ 2.0 (fma 0.5 y (/ 1.0 (+ t_1 (sqrt z))))) t_2) t_4)
(if (<= y 14500000000000.0)
(/ (fma (- (+ (sqrt (+ 1.0 y)) t_3) t_2) z (* 0.5 (sqrt z))) z)
(+ (+ (/ 1.0 (+ (sqrt x) t_3)) (- t_1 (sqrt z))) t_4)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z + 1.0));
double t_2 = sqrt(y) + sqrt(x);
double t_3 = sqrt((1.0 + x));
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (y <= 5.9e-8) {
tmp = ((2.0 + fma(0.5, y, (1.0 / (t_1 + sqrt(z))))) - t_2) + t_4;
} else if (y <= 14500000000000.0) {
tmp = fma(((sqrt((1.0 + y)) + t_3) - t_2), z, (0.5 * sqrt(z))) / z;
} else {
tmp = ((1.0 / (sqrt(x) + t_3)) + (t_1 - sqrt(z))) + t_4;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(z + 1.0)) t_2 = Float64(sqrt(y) + sqrt(x)) t_3 = sqrt(Float64(1.0 + x)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (y <= 5.9e-8) tmp = Float64(Float64(Float64(2.0 + fma(0.5, y, Float64(1.0 / Float64(t_1 + sqrt(z))))) - t_2) + t_4); elseif (y <= 14500000000000.0) tmp = Float64(fma(Float64(Float64(sqrt(Float64(1.0 + y)) + t_3) - t_2), z, Float64(0.5 * sqrt(z))) / z); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(x) + t_3)) + Float64(t_1 - sqrt(z))) + t_4); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, 5.9e-8], N[(N[(N[(2.0 + N[(0.5 * y + N[(1.0 / N[(t$95$1 + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[y, 14500000000000.0], N[(N[(N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + t$95$3), $MachinePrecision] - t$95$2), $MachinePrecision] * z + N[(0.5 * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{z + 1}\\
t_2 := \sqrt{y} + \sqrt{x}\\
t_3 := \sqrt{1 + x}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;y \leq 5.9 \cdot 10^{-8}:\\
\;\;\;\;\left(\left(2 + \mathsf{fma}\left(0.5, y, \frac{1}{t\_1 + \sqrt{z}}\right)\right) - t\_2\right) + t\_4\\
\mathbf{elif}\;y \leq 14500000000000:\\
\;\;\;\;\frac{\mathsf{fma}\left(\left(\sqrt{1 + y} + t\_3\right) - t\_2, z, 0.5 \cdot \sqrt{z}\right)}{z}\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{x} + t\_3} + \left(t\_1 - \sqrt{z}\right)\right) + t\_4\\
\end{array}
\end{array}
if y < 5.8999999999999999e-8Initial program 97.6%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6498.1
Applied rewrites98.1%
Taylor expanded in y around 0
lower--.f64N/A
Applied rewrites58.1%
Taylor expanded in x around 0
Applied rewrites49.6%
if 5.8999999999999999e-8 < y < 1.45e13Initial program 81.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites17.0%
Taylor expanded in z around inf
Applied rewrites19.5%
Taylor expanded in z around 0
Applied rewrites21.2%
if 1.45e13 < y Initial program 87.1%
lift-+.f64N/A
+-commutativeN/A
lift--.f64N/A
flip--N/A
lift--.f64N/A
flip--N/A
frac-addN/A
lower-/.f64N/A
Applied rewrites88.9%
Taylor expanded in x around 0
associate-+r+N/A
lower-+.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f6490.5
Applied rewrites90.5%
Taylor expanded in y around inf
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6489.7
Applied rewrites89.7%
Final simplification66.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ z 1.0))))
(if (<= (- t_2 (sqrt z)) 0.0001)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_1) (+ (sqrt y) (sqrt x))) 1.0)
(- (+ (+ t_1 1.0) t_2) (+ (+ (sqrt z) (sqrt y)) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0001) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_1 + 1.0) + t_2) - ((sqrt(z) + sqrt(y)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_1 + 1.0) + t_2) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_1 + 1\right) + t\_2\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.00000000000000005e-4Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites19.8%
Taylor expanded in x around 0
Applied rewrites30.8%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.1%
Taylor expanded in x around 0
Applied rewrites16.5%
Final simplification23.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (sqrt (+ z 1.0))))
(if (<= (- t_2 (sqrt z)) 0.0001)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_1) (+ (sqrt y) (sqrt x))) 1.0)
(+ (- (+ t_2 t_1) (+ (+ (sqrt z) (sqrt y)) (sqrt x))) 1.0))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt((z + 1.0));
double tmp;
if ((t_2 - sqrt(z)) <= 0.0001) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - (sqrt(y) + sqrt(x))) + 1.0;
} else {
tmp = ((t_2 + t_1) - ((sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = sqrt(Float64(z + 1.0)) tmp = 0.0 if (Float64(t_2 - sqrt(z)) <= 0.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - Float64(sqrt(y) + sqrt(x))) + 1.0); else tmp = Float64(Float64(Float64(t_2 + t_1) - Float64(Float64(sqrt(z) + sqrt(y)) + sqrt(x))) + 1.0); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.0001], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(N[(t$95$2 + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{z + 1}\\
\mathbf{if}\;t\_2 - \sqrt{z} \leq 0.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_2 + t\_1\right) - \left(\left(\sqrt{z} + \sqrt{y}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.00000000000000005e-4Initial program 87.1%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites19.8%
Taylor expanded in x around 0
Applied rewrites30.8%
if 1.00000000000000005e-4 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.1%
Applied rewrites22.1%
Taylor expanded in x around 0
Applied rewrites21.6%
Final simplification26.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 y))) (t_2 (+ (sqrt y) (sqrt x))))
(if (<= (- (sqrt (+ z 1.0)) (sqrt z)) 0.02)
(+ (- (fma (sqrt (/ 1.0 z)) 0.5 t_1) t_2) 1.0)
(- (+ t_1 (sqrt (+ 1.0 x))) t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + y));
double t_2 = sqrt(y) + sqrt(x);
double tmp;
if ((sqrt((z + 1.0)) - sqrt(z)) <= 0.02) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_1) - t_2) + 1.0;
} else {
tmp = (t_1 + sqrt((1.0 + x))) - t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + y)) t_2 = Float64(sqrt(y) + sqrt(x)) tmp = 0.0 if (Float64(sqrt(Float64(z + 1.0)) - sqrt(z)) <= 0.02) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_1) - t_2) + 1.0); else tmp = Float64(Float64(t_1 + sqrt(Float64(1.0 + x))) - t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision], 0.02], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - t$95$2), $MachinePrecision] + 1.0), $MachinePrecision], N[(N[(t$95$1 + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + y}\\
t_2 := \sqrt{y} + \sqrt{x}\\
\mathbf{if}\;\sqrt{z + 1} - \sqrt{z} \leq 0.02:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_1\right) - t\_2\right) + 1\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + \sqrt{1 + x}\right) - t\_2\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 0.0200000000000000004Initial program 87.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.4%
Taylor expanded in z around inf
Applied rewrites19.4%
Taylor expanded in x around 0
Applied rewrites30.3%
if 0.0200000000000000004 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.4%
Taylor expanded in z around inf
Applied rewrites8.3%
Final simplification19.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (if (<= y 4e+23) (- (+ (sqrt (+ 1.0 y)) (sqrt (+ 1.0 x))) (+ (sqrt y) (sqrt x))) (+ (- (sqrt x)) (sqrt (fma (sqrt x) (sqrt x) 1.0)))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double tmp;
if (y <= 4e+23) {
tmp = (sqrt((1.0 + y)) + sqrt((1.0 + x))) - (sqrt(y) + sqrt(x));
} else {
tmp = -sqrt(x) + sqrt(fma(sqrt(x), sqrt(x), 1.0));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) tmp = 0.0 if (y <= 4e+23) tmp = Float64(Float64(sqrt(Float64(1.0 + y)) + sqrt(Float64(1.0 + x))) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(-sqrt(x)) + sqrt(fma(sqrt(x), sqrt(x), 1.0))); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := If[LessEqual[y, 4e+23], N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[((-N[Sqrt[x], $MachinePrecision]) + N[Sqrt[N[(N[Sqrt[x], $MachinePrecision] * N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
\mathbf{if}\;y \leq 4 \cdot 10^{+23}:\\
\;\;\;\;\left(\sqrt{1 + y} + \sqrt{1 + x}\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(-\sqrt{x}\right) + \sqrt{\mathsf{fma}\left(\sqrt{x}, \sqrt{x}, 1\right)}\\
\end{array}
\end{array}
if y < 3.9999999999999997e23Initial program 96.5%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites18.0%
Taylor expanded in z around inf
Applied rewrites21.5%
if 3.9999999999999997e23 < y Initial program 87.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites3.6%
Applied rewrites19.2%
Taylor expanded in x around inf
Applied rewrites18.9%
Applied rewrites18.9%
Final simplification20.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt (+ 1.0 y)) (+ (sqrt y) (sqrt x))) (sqrt (+ 1.0 x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((1.0 + y)) - (sqrt(y) + sqrt(x))) + sqrt((1.0 + x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((1.0d0 + y)) - (sqrt(y) + sqrt(x))) + sqrt((1.0d0 + x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((1.0 + y)) - (Math.sqrt(y) + Math.sqrt(x))) + Math.sqrt((1.0 + x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((1.0 + y)) - (math.sqrt(y) + math.sqrt(x))) + math.sqrt((1.0 + x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(1.0 + y)) - Float64(sqrt(y) + sqrt(x))) + sqrt(Float64(1.0 + x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((1.0 + y)) - (sqrt(y) + sqrt(x))) + sqrt((1.0 + x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(1.0 + y), $MachinePrecision]], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{1 + y} - \left(\sqrt{y} + \sqrt{x}\right)\right) + \sqrt{1 + x}
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.6%
Applied rewrites20.9%
Taylor expanded in z around inf
Applied rewrites20.3%
Final simplification20.3%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) (sqrt (fma (sqrt x) (sqrt x) 1.0))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + sqrt(fma(sqrt(x), sqrt(x), 1.0));
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + sqrt(fma(sqrt(x), sqrt(x), 1.0))) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + N[Sqrt[N[(N[Sqrt[x], $MachinePrecision] * N[Sqrt[x], $MachinePrecision] + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + \sqrt{\mathsf{fma}\left(\sqrt{x}, \sqrt{x}, 1\right)}
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.6%
Applied rewrites20.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Applied rewrites14.7%
Final simplification14.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) (sqrt (+ 1.0 x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + sqrt((1.0 + x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x) + sqrt((1.0d0 + x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x) + Math.sqrt((1.0 + x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x) + math.sqrt((1.0 + x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + sqrt(Float64(1.0 + x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x) + sqrt((1.0 + x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + \sqrt{1 + x}
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.6%
Applied rewrites20.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Final simplification14.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (fma 0.5 x 1.0) (- (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return fma(0.5, x, 1.0) + -sqrt(x);
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(fma(0.5, x, 1.0) + Float64(-sqrt(x))) end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(0.5 * x + 1.0), $MachinePrecision] + (-N[Sqrt[x], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\mathsf{fma}\left(0.5, x, 1\right) + \left(-\sqrt{x}\right)
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.6%
Applied rewrites20.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Taylor expanded in x around 0
Applied rewrites15.1%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (+ (- (sqrt x)) 1.0))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return -sqrt(x) + 1.0;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = -sqrt(x) + 1.0d0
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return -Math.sqrt(x) + 1.0;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return -math.sqrt(x) + 1.0
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(-sqrt(x)) + 1.0) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = -sqrt(x) + 1.0;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[((-N[Sqrt[x], $MachinePrecision]) + 1.0), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(-\sqrt{x}\right) + 1
\end{array}
Initial program 92.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites11.6%
Applied rewrites20.9%
Taylor expanded in x around inf
Applied rewrites14.7%
Taylor expanded in x around 0
Applied rewrites13.3%
Final simplification13.3%
(FPCore (x y z t)
:precision binary64
(+
(+
(+
(/ 1.0 (+ (sqrt (+ x 1.0)) (sqrt x)))
(/ 1.0 (+ (sqrt (+ y 1.0)) (sqrt y))))
(/ 1.0 (+ (sqrt (+ z 1.0)) (sqrt z))))
(- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((1.0d0 / (sqrt((x + 1.0d0)) + sqrt(x))) + (1.0d0 / (sqrt((y + 1.0d0)) + sqrt(y)))) + (1.0d0 / (sqrt((z + 1.0d0)) + sqrt(z)))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((1.0 / (Math.sqrt((x + 1.0)) + Math.sqrt(x))) + (1.0 / (Math.sqrt((y + 1.0)) + Math.sqrt(y)))) + (1.0 / (Math.sqrt((z + 1.0)) + Math.sqrt(z)))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((1.0 / (math.sqrt((x + 1.0)) + math.sqrt(x))) + (1.0 / (math.sqrt((y + 1.0)) + math.sqrt(y)))) + (1.0 / (math.sqrt((z + 1.0)) + math.sqrt(z)))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(Float64(x + 1.0)) + sqrt(x))) + Float64(1.0 / Float64(sqrt(Float64(y + 1.0)) + sqrt(y)))) + Float64(1.0 / Float64(sqrt(Float64(z + 1.0)) + sqrt(z)))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((1.0 / (sqrt((x + 1.0)) + sqrt(x))) + (1.0 / (sqrt((y + 1.0)) + sqrt(y)))) + (1.0 / (sqrt((z + 1.0)) + sqrt(z)))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(1.0 / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{1}{\sqrt{x + 1} + \sqrt{x}} + \frac{1}{\sqrt{y + 1} + \sqrt{y}}\right) + \frac{1}{\sqrt{z + 1} + \sqrt{z}}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
herbie shell --seed 2024268
(FPCore (x y z t)
:name "Main:z from "
:precision binary64
:alt
(! :herbie-platform default (+ (+ (+ (/ 1 (+ (sqrt (+ x 1)) (sqrt x))) (/ 1 (+ (sqrt (+ y 1)) (sqrt y)))) (/ 1 (+ (sqrt (+ z 1)) (sqrt z)))) (- (sqrt (+ t 1)) (sqrt t))))
(+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))